Intelligent Systems. Course Lecture 1: Introduction

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1 Intelligent Systems Course Lecture 1: Introduction

2 Agenda 13-15:Introduction 15-16:Laboratory Facilities 16-17:Discussions and Questions

3 Introduction Who are we? Purpose Themes Approach Materials Course Schedule Who are you? Group Formation

4 Who are we? Morten Lind Ørsted DTU, Automation Center for Human Machine Interaction Johannes Petersen Ørsted DTU, Automation Center for Human Machine Interaction

5 Morten Lind 1969 MScE Technical University of Denmark 1977 PhD, Technical University of Denmark Thesis: Selforganizing Control Systems Research Scientist Risø: Electronics, Reactor Depts, Cognitive Systems Group Professor of Digital Systems, University of Aalborg Professor of Control Engineering, Technical University of Denmark Participation in EU research projects: Expert Systems Builder (ESB-ESPRIT), Knowledge Based Systems Onboard Ships (KBSSHIP-ESPRIT) Selforganizing Underwater Vehocles (SOUV-MAST) Reviewer of EU projects in Human-Machine Systems (GRADIENT,AMEBICA) Scientific Advisor to GoalArt, Lund, Sweden Board Member of Danish Automation Society (Dau) Vice Chairman of TUR (Teknisk Uddannelsesråd)

6 Johannes Petersen 1997 MScE, Technical University of Denmark 2000 PhD, Department of Automation (DTU) Thesis: Knowledge-Based Support for Situation Assesment in Human Supervisory Control 2001 Research Assistant Ørsted DTU, Automation Center for Human Machine Interaction (CMHI) Assistant Professor Ørsted DTU, Automation Center for Human Machine Interaction (CMHI)

7 ØRSTED DTU - Automation Control Theory and Techniques Intelligent Systems and Human Supervisory Control Sattelite Control Autonomous Robots

8 Purpose of Course To introduce basic principles and tools for development of IT systems for Diagnosis and reactive planning In: Process plants Autonomus Robots

9 Applications of Intelligent Systems Social Organisation Human actors Human-Machine Interface HS HI Intelligent Multimedia Intelligent Sensors Automated Controls SI DO DI Intelligent Control AA Physical Objects and Processes

10 Application: Human-Machine Interfaces Decision support monitoring fault finding reactive planning Intelligent Multimedia Combine: Expert systems Graphics, sound

11 Application: Intelligent Control Problems situation assesment fault diagnosis reactive planning Martin (Maridan) Autonomous Guided Vehicle (Novo Nordisk)

12 Application: Intelligent Sensors Intelligent sensors has: network connection own HMI And is capable of: self calibration self diagnostics

13 Course Themes CASES Ship Engine SmallBot THEORY Diagnosis Planning TOOLS CLIPS (GoalA rt, GoalArt RiskView)

14 Course Approach: Hands-on CASES THEORY TOOLS

15 Case: Ship Engine Diagnosis Fault finding using a rule based system

16 Case: SmallBot (SMR) Reactive Planning

17 Tools CLIPS: an Expert Systems Development Tool GoalArt: A tool for Building Modelbased Systems CLIPS Variants CLIPS (NASA) C-Language Integrated Production System (Linux, Windows) Jess CLIPS clone fully integrated with Java (Linux, Windows) CLIPS OCX ActiveX component for Windows

18 Course Materials Girratano & Riley (1998) Expert Systems Principles and Programming PWS + CUG: Clips User s Guide BPG: Basic Programming Guide CLIPS Reference Manual Vol I IG: Interfaces Guide CLIPS Reference Manual Vol III + Notes NOTE! CUG, BPG, and IG is on the CD in Girratano s book (pdf) Can also be downloaded from wwwghgnet/clips/clipshtml (v62) Are available in the LAB Prices: Girratano & Riley s (Polyteknisk Boghandel) app 550 DKr Notes: 50DKr Papercopies of CUG (90 DKr), BPG (225 DKr), IG (60 DKr) can be obtained from the institute

19 Course Schedule Cases, Tools and Theory 3 September ~22 October Incl Mid term assignment Project 25 October 6 December

20 Projects Fault diagnosis problem (Car, SmallBot???) Reactive Planning (SmallBot) GoalArt: Multilevel Flow Modeling Decision support system for diagnosis (HMI)????

21 GoalArt: Multilevel Flow Modeling

22 Who are you?

23 Laboratory setup 24 Terminals (Linux/Windows) in rooms 326/017 and 326/027 Servers: Kalman (in room 017) Little (in room 027) Login: K380hx (x = 1-24; group no) Password: intel

24 Group Formation 42 Signed up for the course 24 X-Terminals Groups with two persons

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